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Construction of a system for predicting and warning the progress of hepatitis B based on big data and artificial intelligence

Creation and technology popularization of disease progression early-warning and chronic disease management system in patients with chronic hepatitis B-associated diseases

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000029288
Enrollment
Unknown
Registered
2020-01-20
Start date
2020-01-30
Completion date
Unknown
Last updated
2020-02-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic hepatitis B

Interventions

Case series:Nil

Sponsors

HwaMei Hospital, University Of Chinese Academy Of Science
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: People with chronic HBV infection; Diagnostic criteria are based on the prevention and treatment plan of viral hepatitis and guideline for chronic hepatitis B prevention and treatment.

Exclusion criteria

Exclusion criteria: 1. Other hepatitis virus infections (including hepatitis A, C, D, e, G, HCV, EB, coxsackievirus, cytomegalovirus); 2. Autoimmune liver disease; 3. Alcoholic liver disease; 4. Drug induced liver disease.

Design outcomes

Primary

MeasureTime frame
HBV DNA;Hepatitis B virus resistance mutation;ALT;Inflammatory activity of liver tissue;Hepatic fibrosis degree;HBV-M;—

Countries

China

Contacts

Public ContactHu Airong

HwaMei Hospital, University Of Chinese Academy Of Science

huairong6666@126.com+86 13968369377

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026